# Track Salesforce and ServiceNow LinkedIn Strategy

**Use case:** 

Extract recent LinkedIn company page posts from Salesforce and ServiceNow to analyze competitor positioning, product announcements, and engagement metrics. Returns structured companyName, postedAt, and reactionsCount fields. Modify the companyUrls array to track different enterprise software rivals.

## Input

```json
{
  "mode": "companyPosts",
  "companyUrls": [
    "salesforce",
    "servicenow"
  ],
  "maxPostsPerCompany": 30,
  "postTypes": [],
  "includeEmployeePosts": false,
  "includeIndexedPosts": true,
  "datePosted": "r2592000",
  "minReactions": 0,
  "minComments": 0,
  "sortBy": "recent",
  "includeReposts": true,
  "hydratePosts": true,
  "includeReactionBreakdown": false,
  "includeDocumentDetails": false,
  "monitorMode": false,
  "language": "en"
}
```

## Output

```json
{
  "companyName": {
    "label": "Company",
    "format": "text"
  },
  "postedAt": {
    "label": "Posted At",
    "format": "text"
  },
  "mediaType": {
    "label": "Media Type",
    "format": "text"
  },
  "reactionsCount": {
    "label": "Reactions",
    "format": "number"
  },
  "commentsCount": {
    "label": "Comments",
    "format": "number"
  },
  "postUrl": {
    "label": "Post URL",
    "format": "link"
  },
  "scrapedAt": {
    "label": "Scraped At",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The LinkedIn Company Page Post & Engagement Extractor Actor is ready to run with the inputs already set for "Track Salesforce and ServiceNow LinkedIn Strategy". [Sign up or log in](https://console.apify.com/create-task-from-example/8312v9CnjMLj0LPQP) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Track Salesforce and ServiceNow LinkedIn Strategy" task

The LinkedIn Company Page Post & Engagement Extractor Actor will start running based on the input automatically. You can also change all the input fields, like mode, company urls or slugs, and more, to match your specific use case.

### 3. Receive the "Track Salesforce and ServiceNow LinkedIn Strategy" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as company, posted at, media type, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Track Salesforce and ServiceNow LinkedIn Strategy" task via API](https://apify.com/vexaloom-labs/linkedin-company-page-post-and-engagement.md).

## About this Actor

This example demonstrates how to use [LinkedIn Company Page Post & Engagement Extractor](https://apify.com/vexaloom-labs/linkedin-company-page-post-and-engagement.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/vexaloom-labs/linkedin-company-page-post-and-engagement.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/vexaloom-labs/linkedin-company-page-post-and-engagement.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).